Mistral: Devstral Small 1.1
Mistral AI • LLM
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and...
Specifications
Context Window
131K tokens
Input Price/1M
$0.10
Output Price/1M
$0.30
Parameters
—
Speed
189 tok/s
Latency (TTFT)
417ms
Benchmarks
Mistral: Devstral Small 1.1 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 25.8 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 12.2 | 100.0 | Artificial Analysis official API |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 68.4 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 29.3 | 100.0 | Artificial Analysis official API |
| AA Math Index | 29.3 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 18.0 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 63.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 43.4 | 100.0 | Artificial Analysis official API |
Information
- Release date
- July 10, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Devstral Small 1.1
What is Mistral: Devstral Small 1.1?
Mistral: Devstral Small 1.1 is an AI model developed by Mistral AI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Mistral: Devstral Small 1.1 is usage-based, priced at $0.1/1M input tokens and $0.3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Mistral: Devstral Small 1.1 was evaluated on 8 different benchmarks, covering categories like Coding, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Mistral: Devstral Small 1.1 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Devstral Small 1.1 competes directly with similarly capable models. Mistral AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Mistral: Devstral Small 1.1?
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and...
How much does Mistral: Devstral Small 1.1 cost?
Mistral: Devstral Small 1.1 costs $0.1/1M input tokens and $0.3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Mistral: Devstral Small 1.1 compare with other models?
In available benchmarks, Mistral: Devstral Small 1.1 scored: LiveCodeBench: 25.8/100, AA Coding Index: 12.2/100, MATH-500: 68.4/100. See the full table above for a detailed comparison.
Is Mistral: Devstral Small 1.1 open source?
Yes, Mistral: Devstral Small 1.1 is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Mistral: Devstral Small 1.1 best for?
Mistral: Devstral Small 1.1 excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: May 31, 2026 • View methodology →